Jejo Koola

According to our database, Jejo Koola authored at least 16 papers between 2014 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Blockchain-enabled immutable, distributed, and highly available clinical research activity logging system for federated COVID-19 data analysis from multiple institutions.

Tsung-Ting Kuo, Anh Pham, Maxim E. Edelson, Jihoon Kim, Jason Chan, Yash Gupta, Lucila Ohno-Machado, David M. Anderson, Chandrasekar Balacha, Tyler Bath, Sally L. Baxter, Andrea Becker-Pennrich, Douglas S. Bell, Elmer V. Bernstam, Ngan Chau, Michele E. Day, Jason N. Doctor, Scott L. DuVall, Robert El-Kareh, Renato Florian, Robert W. Follett, Benjamin P. Geisler, Alessandro Ghigi, Assaf Gottlieb, Ludwig Christian G. Hinske, Zhaoxian Hu, Diana Ir, Xiaoqian Jiang, Katherine K. Kim, Tara K. Knight, Jejo D. Koola, Nelson Lee, Ulrich Mansmann, Michael E. Matheny, Daniella Meeker, Zongyang Mou, Larissa Neumann, Nghia H. Nguyen, Nick Anderson, Eunice Park, Paulina Paul, Mark J. Pletcher, Kai W. Post, Clemens Rieder, Clemens Scherer, Lisa M. Schilling, Andrey Soares, Spencer L. SooHoo, Ekin Soysal, Steven Covington, Brian Tep, Brian Toy, Baocheng Wang, Zhen R. Wu, Hua Xu, Yong K. Choi, Kai Zheng, Yujia Zhou, Rachel A Zucker

J. Am. Medical Informatics Assoc., 2023

2022

Disentangling and Characterizing Device Safety Signals and Learning Effects.

Henry Ssemaganda, Frederic S. Resnic, Sharon E. Davis, Usha Govindarajulu, Jejo Koola, Jialin Mao, Dax M. Westerman, Theodore Speroff, Craig Ramsay, Art Sedrakyan, Lucila Ohno-Machado, Michael E. Matheny

Proceedings of the AMIA 2022, 2022

A Framework for Detecting Medical Device Safety Signals Confounded by Learning Effects Using Machine Learning.

Jejo D. Koola, Jialin Mao, Sharon E. Davis, Henry Ssemaganda, Dax M. Westerman, Lucila Ohno-Machado, Frederic S. Resnic, Michael E. Matheny

Proceedings of the AMIA 2022, 2022

Identifying Diagnostic Opportunities Using Clinical Trajectories.

Jejo D. Koola, David Laub, Shamim Nemati, Robert El-Kareh

Proceedings of the AMIA 2022, 2022

A Framework for Generating Synthetic Clinical Datasets with Learning Effects to Support Methods Development and Validation.

Sharon E. Davis, Henry Ssemaganda, Jejo Koola, Jialin Mao, Dax M. Westerman, Theodore Speroff, Usha Govindarajulu, Craig Ramsay, Lucila Ohno-Machado, Frederic S. Resnic, Michael E. Matheny

Proceedings of the AMIA 2022, 2022

2020

Electronic Health Record Phenotyping of Patients with Drug-Induced Renal Injury.

Zaid K. Yousif, Linda Awdishu, Mike Hogarth, Jejo D. Koola

Proceedings of the AMIA 2020, 2020

Diagnosing Chemotherapy-Related Cognitive Impairment Using Digital Phenotyping.

Marehan Waly, Teresa Helsten, Nhan Vuong, Amanda Gooding, William Frederick, Alex D. Leow, Jejo D. Koola

Proceedings of the AMIA 2020, 2020

2019

Identifying Early Hepatic Encephalopathy Through Digital Phenotyping.

Jejo D. Koola, Veeral Ajmera, Job Godino, Lauren L'Heureux, Amanda Gooding, Marc Norman, Faraz Hussain, Alex D. Leow

Proceedings of the AMIA 2019, 2019

2018

Development of an automated phenotyping algorithm for hepatorenal syndrome.

Jejo D. Koola, Sharon E. Davis, Omar Al-Nimri, Sharidan K. Parr, Daniel Fabbri, Bradley A. Malin, Samuel B. Ho, Michael E. Matheny

J. Biomed. Informatics, 2018

Application of contextual design methods to inform targeted clinical decision support interventions in sub-specialty care environments.

Anne Miller, Jejo D. Koola, Michael E. Matheny, Julie Ducom, Jason M. Slagle, Erik Groessl, Freneka F. Minter, Jennifer H. Garvin, Matthew B. Weinger, Samuel B. Ho

Int. J. Medical Informatics, 2018

2017

Machine Learning Models to Predict Readmission for Patients with Cirrhosis.

Jejo D. Koola, Aize Cao, Guanhua Chen, Amy Perkins, Samuel B. Ho, Sharon E. Davis, Michael E. Matheny

Proceedings of the AMIA 2017, 2017

2016

Using a Multilayer Self-Organizing Map for Risk Prediction in Hepatorenal Syndrome.

Jejo D. Koola, Sharon E. Davis, Samuel B. Ho, Michael E. Matheny

Proceedings of the Summit on Clinical Research Informatics, 2016

An Electronic Health Record Phenotyping Algorithm for Identifying Patients with Hepatorenal Syndrome.

Jejo Koola, Samuel B. Ho, Michael E. Matheny

Proceedings of the AMIA 2016, 2016

Workflow-guided development of a clinical decision support tool for patients with advanced liver disease.

Samuel B. Ho, Julie Ducom, Anne Miller, Jennifer H. Garvin, Jejo D. Koola, Russ Beebe, Jason M. Slagle, Dax M. Westerman, Carrie Reale, Matthew B. Weinger, Erik Groessl, Michael E. Matheny

Proceedings of the AMIA 2016, 2016

2015

A Novel Visualization for Rapid Summarization of Patient History: Application to Cirrhosis.

Jejo Koola, Samuel B. Ho, Michael E. Matheny

Proceedings of the AMIA 2015, 2015

2014

Development of a Cirrhosis-Associated Symptom/Finding Detection Tool.

Jejo Koola, Robert M. Cronin, Ruth M. Reeves, Jason N. Denton, Samuel B. Ho, Michael E. Matheny

Proceedings of the AMIA 2014, 2014